OpenAI: GPT-6 Luna Pro
openai/gpt-6-luna-proGPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. **Cost note:** pro mode spends far more...
- Context window
- 1,050,000 tokens
- Input
- file · image · text
- Output
- text
- Relay support
- Text & vision
Reference prices & points
Our global markup: 15% · 1 USD = 10,000 points · Price version 0
| Billing unit | OpenRouter / USD | Our reference / USD | Points |
|---|---|---|---|
| Input / 1M tokens | $0.1 | $0.115 | 1,150 |
| Output / 1M tokens | $0.5 | $0.575 | 5,750 |
| Per search | $0.01 | $0.0115 | 115 |
| Cache read / 1M tokens | $0.01 | $0.0115 | 115 |
| Cache write / 1M tokens | $0.125 | $0.14375 | 1,437.5 |
Actual charge = the OpenRouter request cost × the markup locked for that request. Catalogue rates may be routing references; caching, long context, images and audio are charged when used. Listed prices do not mean every capability is available through this relay.
Catalogue time: 2026-11-12T00:05:42.537Z · Live catalogue
View upstream pricing tiers
These are raw upstream pricing conditions without our markup. The final charge is multiplied by the site rate.
[
{
"min_prompt_tokens": 272000,
"prompt": "0.0000002",
"completion": "0.00000075",
"input_cache_read": "0.00000002",
"input_cache_write": "0.00000025"
}
]View all upstream price fields
{
"prompt": "0.0000001",
"completion": "0.0000005",
"web_search": "0.01",
"input_cache_read": "0.00000001",
"input_cache_write": "0.000000125",
"overrides": [
{
"min_prompt_tokens": 272000,
"prompt": "0.0000002",
"completion": "0.00000075",
"input_cache_read": "0.00000002",
"input_cache_write": "0.00000025"
}
]
}Integration & availability
Use /v1/chat/completions for non-streaming, multi-turn conversations. Models marked for vision accept images; documents can be extracted to text in the workspace. Create a site API key and ensure you have enough points and the service is enabled. Provider availability, context and budget limits apply.